Under which of the following conditions are nonparametric tests appropriate for quantitative data?
A) One or more of the assumptions underlying a particular parametric statistical test has been violated.
B) The sample size is very large.
C) The underlying population can be assumed to be normally distributed.
D) All assumptions for a particular parametric statistical test have been met.

Question

Quizplus · Accepted Answer

Nonparametric tests are appropriate when one or more assumptions underlying a particular parametric statistical test has been violated, such as when the data is not normally distributed or the sample size is small. If all assumptions for a parametric test have been met, it is generally more appropriate to use that test. The sample size being very large or the underlying population being assumed to be normally distributed are not criteria for determining whether nonparametric tests are appropriate.

Under Which of the Following Conditions Are Nonparametric Tests Appropriate